def _queryToArray(self, q):
recs = self._queryToDict(q)
if len(recs) < 1:
#return np.array([]) ## need to return empty array *with correct fields*, but this is very difficult, so just return None
return None
rec1 = recs[0]
dtype = functions.suggestRecordDType(rec1)
#print rec1, dtype
arr = np.empty(len(recs), dtype=dtype)
arr[0] = tuple(rec1.values())
for i in xrange(1, len(recs)):
arr[i] = tuple(recs[i].values())
return arr
def _queryToArray(self, q):
recs = self._queryToDict(q)
if len(recs) < 1:
#return np.array([]) ## need to return empty array *with correct fields*, but this is very difficult, so just return None
return None
rec1 = recs[0]
dtype = functions.suggestRecordDType(rec1)
#print rec1, dtype
arr = np.empty(len(recs), dtype=dtype)
arr[0] = tuple(rec1.values())
for i in range(1, len(recs)):
arr[i] = tuple(recs[i].values())
return arr
def _queryToArray(self, q):
prof = debug.Profiler("_queryToArray", disabled=True)
recs = self._queryToDict(q)
prof.mark("got records")
if len(recs) < 1:
#return np.array([]) ## need to return empty array *with correct columns*, but this is very difficult, so just return None
return None
rec1 = recs[0]
dtype = functions.suggestRecordDType(rec1, singleRecord=True)
#print rec1, dtype
arr = np.empty(len(recs), dtype=dtype)
arr[0] = tuple(rec1.values())
for i in xrange(1, len(recs)):
arr[i] = tuple(recs[i].values())
prof.mark('converted to array')
prof.finish()
return arr
def _queryToArray(self, q):
prof = debug.Profiler("_queryToArray", disabled=True)
recs = self._queryToDict(q)
prof.mark("got records")
if len(recs) < 1:
#return np.array([]) ## need to return empty array *with correct columns*, but this is very difficult, so just return None
return None
rec1 = recs[0]
dtype = functions.suggestRecordDType(rec1, singleRecord=True)
#print rec1, dtype
arr = np.empty(len(recs), dtype=dtype)
arr[0] = tuple(rec1.values())
for i in xrange(1, len(recs)):
arr[i] = tuple(recs[i].values())
prof.mark('converted to array')
prof.finish()
return arr
